Preface to the Third Edition.Preface to the Second Edition.Preface to the First Edition.1. Introduction.2. The Multivariate Normal Distribution.3. Estimation of the Mean Vector and the Covariance Matrix.4. The Distributions and Uses of Sample Correlation Coefficients.5. The Generalized T2-Statistic.6. Classification of Observations.7. The Distribution of the Sample Covariance Matrix and the Sample Generalized Variance.8. Testing the General Linear Hypothesis: Multivariate Analysis of Variance9. Testing Independence of Sets of Variates.10. Testing Hypotheses of Equality of Covariance Matrices and Equality of Mean Vectors and Covariance Matrices.11. Principal Components.12. Cononical Correlations and Cononical Variables.13. The Distributions of Characteristic Roots and Vectors.14. Factor Analysis.15. Pattern of Dependence-- Graphical Models.Appendix A: Matrix Theory.Appendix B: Tables.References.Index.

(source: Nielsen Book Data)

Perfected over three editions and more than forty years, this field-- and classroom--tested reference: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. Treats all the basic and important topics in multivariate statistics. Adds two new chapters, along with a number of new sections. Provides the most methodical, up--to--date information on MV statistics available. (source: Nielsen Book Data) 9780471360919 20160528

A non-calculus based introduction for students studying statistics, business, engineering, health sciences, social sciences, and education. It presents a thorough coverage of statistical techniques and includes numerous examples largely drawn from actual research studies. Little mathematical background is required and explanations of important concepts are based on providing intuition using illustrative figures and numerical examples. The first part shows how statistical methods are used in diverse fields in answering important questions, while part two covers descriptive statistics and considers the organisation and summarisation of data. Parts three to five cover probability, statistical inference, and more advanced statistical techniques. (source: Nielsen Book Data) 9780387946191 20160605